The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps ...

Cancer research using electronic health records and genomic data sets requires clinical outcomes data, which may be recorded only in unstructured text by treating oncologists. Natural language ...

What if a computer could read a patient's medical notes and help doctors determine important information for their treatments? At MUSC Hollings Cancer Center, researchers led by Jihad Obeid, M.D., and ...

Natural language processing can be used for automated extraction of social work interventions from electronic health records, thereby supporting social work staffing and resource allocation decisions.

NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

Natural language processing (NLP) denotes the use of artificial intelligence (AI) to manipulate written or spoken languages. Like the air we breathe, NLP is so pervasive today that we hardly notice it ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

It wasn’t too long ago that talking to a computer and having it not only understand, but speak back, was confined to the realm of science fiction, like that of the shipboard computers of Star Trek.

The global Natural Language Processing (NLP) market size is expected to reach USD 98.05 Billion at a steady revenue CAGR of 25.7% in 2030, according to the latest analysis by Emergen Research. The ...

Natural language processing (NLP) and speech processing at RIT is a research-active area led by Dr. Cecilia Alm’s and Dr. Marcos Zampieri’s laboratories. The groups’ research projects, supported by ...